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Unraveling the Temporal Dynamics of Radiation-Induced Lung Injury

GSE295524 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/02/26 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Unraveling the temporal dynamics of radiation-induced lung injury: a multi-omics integration of transcriptomic, proteomic, and metabolic reprogrammingBMC medical genomics · 2026
Summary (written by the submitters)
Radiation pneumonitis remains a dose-limiting complication in thoracic radiotherapy, critically impacting treatment efficacy and long-term patient survival. Despite its clinical significance, the dynamic molecular reprogramming underlying radiation-induced lung injury (RILI) progression remains poorly characterized. Utilizing a murine model validated by histopathological analysis, we implemented RNA-seq to systematically map the temporal evolution of RILI at critical phases: acute inflammation, transitional, and fibrotic.
Read the full summary ↓
Through combining analysis, we identified Ces2e as a pivotal node exhibiting sustained upregulation at both transcriptional and translational levels during early pathogenesis. Functional enrichment revealed time-dependent activation of xenobiotic metabolism and ECM-receptor interaction pathways, with Ces2e overexpression correlating with macrophage polarization and lipid peroxidation accumulation. This temporal multi-omics atlas not only deciphers stage-specific molecular signatures of RILI but also nominates Ces2e as a potential theranostic target for early intervention.
Published in
Unraveling the temporal dynamics of radiation-induced lung injury: a multi-omics integration of transcriptomic, proteomic, and metabolic reprogramming
Wu D, Tang F, Zhang Y et al. · BMC medical genomics 2026 · PMID 41814364 · doi:10.1186/s12920-026-02345-2
This dataset
Open GSE295524 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE295524_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1255119 and SRA study SRP581004. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41814364) ↗
Study design
6 conditions, mostly in triplicate
m1-RT ×3 m1-Sham ×3 m2-RT ×3 m2-Sham ×3 m4-RT ×3 m4-Sham ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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